Background
Type: Conference paper

Identification of Induction Motor Parameters Using Auto Self-Commissioning Methods

Journal: 2025 29th International Computer Conference, Computer Society of Iran, CSICC 2025 ()Year: 2024Volume: Issue:
Chengizian M.aMizani A. Gao H.Mizani A.Chengizian M.a Gao H.
DOI:10.1109/ITEC60657.2024.10599029Language: English

Abstract

This paper focuses on the parameter estimation of induction motors. It introduces a new approach for stator resistance identification, which is practical for industry applications such as electrical railway transportation systems. Furthermore, the total leakage inductance and the rotor side resistance are identified by a single test with high accuracy, without the need for AC injection and phase angle detection. The proposed method is simpler compared to other methods, also benefiting from lower computational requirements. Finally, the magnetizing inductance is estimated using a novel approach with a PR controller. Since there is no need to measure the phase difference between voltage and current, the accuracy of the introduced method is high. © 2024 IEEE.


Author Keywords

Induction motormagnetizing inductanceparameter Estimationrotor time constantself-commissioningstand stillstator resistance

Other Keywords

InductanceParameter estimationPower electronicsStatorsInduction motor parametersInductions motorsMagnetizing inductanceNew approachesParameters estimationRotor time constantSelf-commissioningStand stillStator resistanceStator resistance identificationInduction motors